Machine vision serves various industries in the form of visual devices, configurable vision systems and intelligent vision equipment. It has been widely used in consumer electronics, printing and packaging, new energy, automobile manufacturing and many other industries, covering almost every field of the national economy. As an important branch of artificial intelligence, machine vision is the key core technology to realize industrial automation and intelligence, and also an important support for the implementation of intelligent manufacturing strategy in China.

With the rapid development of artificial intelligence in recent years, the market scale of machine vision industry in our country has been expanding gradually. It is expected that by 2026 the scale of machine vision market in our country will break through 20 billion Yuan, which is a new blue sea actually.

During the 14th Five-Year Plan period, various provinces and cities in our country have put forward the development goals of machine vision industry one after another. As a major manufacturing province, Jiangsu has made rapid and steady strides on the road of intelligent manufacturing. In 2021, it issued the Three-year Action Plan for Intelligent Transformation and Digital Transformation of Manufacturing Industry in Jiangsu Province (2022-2024), proposing to deepen the integration and development of the new generation of information technology and manufacturing industry as the main line, and take intelligent manufacturing as the main direction. We will accelerate changes in the quality, efficiency and driving force of manufacturing.

Machine vision, as such a high-tech and promising industry, how to light up the "eye of wisdom" in the manufacturing industry and realize the acceleration of "intelligent manufacturing"?

Manufacturing is being "identified" to change, intelligent manufacturing into the fast lane

In Jiangsu, the development of industry 4.0 is in full swing, and the "smart factory" is quietly emerging. In order to adapt to the development of the market and improve the efficiency and level of enterprise management, many traditional factories have also embarked on the road of digital transformation.

It has become a new trend in the development of modern factories to bring brand new changes to factory production and management through the fusion application of industrial robots and various sensors, so as to improve the efficiency of factory management and maximize the benefits of enterprises.

In the traditional industrial environment, sheet metal parts defects include detection items such as slight surface depressions/bumps, scratches, abnormal aperture, sheet metal parts straightness, etc., and there are many kinds of workpieces, and the size is not ー. In the past, sheet metal parts defect detection requires staff to identify by naked eye. In the factory environment, personnel are unable to accurately identify defects, and reliance on additional auxiliary tools for detection leads to inefficiency.

In a manufacturing plant located in Jiangsu province, the highly repetitive assembly line work of plate and gold parts defect detection is no longer simply completed by manual work, but based on industrial AI vision system to achieve intelligent transformation. The system can detect defective products in time, can also statistical analysis and comparison of different batches of product defect pictures, the output accuracy is up to 99.9%, in a real sense to achieve the reduction of efficiency. "Machine vision is the backbone of the industrial Internet, equivalent to putting eyes and brains on machines."

Machine vision is only used in consumer electronics, automotive and other emerging industries. Now with the rapid development of artificial intelligence, more and more "heavy" traditional industries began to "intellectual change", the penetration rate of machine vision rapidly increased. Facing the industry needs to computer vision and deep learning technology as the core, the research and development of independent innovation industrial AI visual system, established a set of orientation, identification, testing, analysis, alarm, recording, back in the integration of visual vision system, provide for the customer from the visual grading for package and logistics, carbon, industrial materials, defect inspection, intelligent operations such as a full range of visual inspection services.

Industrial AI vision system has the advantages of short development cycle, rapid identification, precision and stability, and high recognition rate in complex environment, which can enable industrial enterprises to rapidly enhance the automation, intelligence and flexibility of production lines at a low time cost, so as to improve production efficiency and achieve the purpose of cost reduction and efficiency increase.

The "Eye of Industry" enables thousands of industries and promotes the new revolution of industry 4.0

As a branch of artificial intelligence, machine vision is used for sorting, positioning, precision measurement, defective product detection and so on. It can be likened to the eye of a smart factory.

More than a decade ago, machine vision was an expensive new technology, the market was firmly controlled by foreign manufacturers, and its application was concentrated in a few advanced manufacturing industries such as consumer electronics and automobiles. In the process of accelerating the digital transformation of the manufacturing industry, the original high machine vision gradually "flies into ordinary people's homes", machinery, metallurgy, textile, chemical and other traditional industries demand rapid release.

In each branch, there is a relatively broad market waiting to be tapped. The pharmaceutical industry can do impurity detection of liquid medicine and OCR detection of drug box. 3C industry can do OCR detection of mobile phone Cato and defect detection of mobile phone camera module; The automobile industry can do air conditioning cooling equipment defect detection...... From daily consumer goods to industrial components, machine vision application services industry covers all aspects of life.